This is tried and true analytics platform which delivers successful business results for our customers.

Good data and sophisticated analysis only get you so far. For your best decisions, you must be empowered to interpret and act upon your data trends in a manner relevant to your business goals, customized for your company, in your industry, in your town, with your government policies and your business rules.

Our Statistical Data Model Library is easy-to-use analytic solution, incorporates the innovative Rules Builder that enables you to apply both business rules and analytic models to your business processes. Forecast, plan, and anticipate quality issues like never before. You can provide scoring solutions, meet supplier demand, and develop strategic options with unmatched business relevance, all with defined user roles and accompanying privileges company-wide.

Model

Business Situation

Basic Techniques

PN-001

Automotive Car Warranty claims Prediction.

Non homogeneous poisson process

PN-002

Analysis of an accelerated life test for electrical motor insulation.The purpose of the test is to estimate the median life of the insulation at the design operating temperature .It is the process of testing a product by subjecting it to conditions (stress, strain, temperatures etc.) in excess of its normal service parameters in an effort to uncover faults and potential modes of failure in a short amount of time.By analyzing the product's response to such tests, we can make prediction about the service life and maintenance intervals of a product.

Accelerated life model

PN-003

Analysis of failure of mica capacitor from circuit bords and predicted number of capacitors failing .

Binomial Model

PN-004

Analyze of recurrence data when the recurrence ages are grouped into intervals,instead of being exact ages and predict the mean function cumulative of time. Mean Cumulative Function (MCF) provides a valid statistical inference on recurrent adverse .

Mean Cumulative Function

PN-005

Analysis of the lifetimes of locomotive engine fans and predict the lifetime of engine fans

Bayesian method

PN-006

Analysis of Survival Time of Semiconductor in Two Batches.

Bayesian Analysis

PN-007

Analyze of recurrence data on repairs and mean cumulative function for the number or cost of repairs for a population of repairable systems.

Mean Cumulative Function

PN-008

Analysis of right censored data from a single population and predict the lifetimes of diesel engine fans

Analyze the number of cycles to fatigue failure of specimens of a certain alloy

Three parameter weibull analysis

PN-012

Analysis of component reliability and predict the number of components removed for maintenance.

Generalised additive model

PN-013

Forecast the automotive sales.

ARIMA model

PN-014

Analyze the data represent failure times of machine parts, some of which are manufactured by manufacturer A and some by manufacturer B. predict the lifetime ( which gives information of quality).

generalized linear model

PN-015

Analysis of recurrence data from repairable systems. Repair data analysis differs from life data analysis, where units fail only once. As a repairable system ages,it accumulates repairs and costs of repairs. cost of repairs for a population of repairable systems

Mean Cumulative Function (MCF)

PN-016

Analyze the capacitor failure and quality of capacitor.During the manufacture of a metal-oxide semiconductor (MOS) capacitor, causes of failures were recorded before and after a tube in the diffusion furnace was cleaned.

Pareto Analysis

PN-017

Method to model insurance claims data

Markov Chain Monte Carlo

PN-018

Analysis of Pump failure data . The number of failures and the time of operation are recorded for pumps. Each of the pumps is classified into one of two groups corresponding to either continuous or intermittent operation

Markov Chain Monte Carlo

PN-019

Analyzing Recurring Failures.Replacement of components such as Good as New or Bad as Old?

Non Pomogeneous Poisson Process

PN-020

Analysis of pump failure

Poisson and Nomal Model

PN-021

Comparing the repair performance of two systems.evaluate whether the population repaire(or cost) rate increasing or decreasing with age estimate average number or cost of repair per unist on warranty or over design life of the product,comparaing two or more sets of data from different disigns production peroids ,maintanance policies enviroment operating condintions etc. predict turure number and cost of repairs .

Mean Cumulative Function

PN-022

Predicts total maintenance cost ($) for next six months using time series method. This prediction will help planner (manager) to allocate the maintenance budget for next six month.

Forecasting Total Maintenance Cost

PN-023

Pareto analysis is used to identify critical problem by number of failures or by maintenance cost or by repair time.

Pareto Analysis

PN-024

Moving range chart is tests for special causes to make an individual measurements chart more sensitive to special causes of variation.

Moving Range Chart

PN-025

The accelerated life test of an insulating fluid and are the times to electrical breakdown of the fluid under different high voltage levels

Weibull Analysis

PN-026

This method to model insurance claims data of automotive car

Bayesian Analysis

PN-027

The number of failures of pumps and the time of operation are recorded of pumps. Predict the failure of pump.

Nonlinear Poisson Regression Random Effects Model

PN-028

Analysis of Microprocessor Failure data

Cox proportional hazards model

PN-029

Analysis of failure of Motor of scooter with operating temperature as a covariate

Cox proportional hazards model

PN-030

Analysis of Gas Turbine failure data

Reliabilty method

PN-031

Analyzed data from an accelerated test on the lifetimes of Air gap capacitors as a function of operating voltage and temperature. It is the process of testing a product by subjecting it to conditions i.e. temperatures, voltage in excess of its normal service parameters in an effort to uncover faults and potential modes of failure in a short amount of time

Weibill Analysis

PN-032

Monitor the number of defects per motor.The motor of the same model are inspected, and the number of defects per motor is recorded.

C-CHART

PN-033

Monitor the number of failing circuits from the circuit manufacturing process.

np-Chart

PN-034

Analyzed data from a strain-controlled fatigue test on specimens of a type of superalloy.

Weibull Regression Model

PN-035

Monitor number of failing circuits produced by the circuit manufacturing process.

p-Chart

PN-036

Estimating cost of product in manufacturing

Simple Linear Regression

PN-037

Forecast Repaircost of Motor Failure .

Multiple Linear Regression Method

PN-038

Forecast the mean residual life of an asset

Mean Residual Life Function

PN-039

Analysis of failure cost by failure code for particular asset.

Cause and cost Chart

PN-040

Analysis of Risk Priority Number (RPN) data to evaluate risk level of component for perticular asset.

Failure Mode Efect Analysis

PN-041

Monitor the Total claim cost,Labor cost ,complaints of customers in warranty of cars